Computational-Social-Science-Training-Program
Computational-Social-Science-Training-Program copied to clipboard
dlab-berkeley
This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal...
Let's add a link to the README.md file so that people can launch the repo on the campus datahub. In case there are problems with a participant's local installation, using...
Materials for the in-class lab on replicating a paper. Current plan is to replicate @jaeyk 's covid19antiasian paper.
Review of Python, pandas, mean/summary statistics, and basic plots.
Metadata
Owner
Metadata
This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal...